Showing 20 of 813 academic articles
Markus Leippold, Qian Wang, Wenyu Zhou • Journal of Financial Economics
(2021)
We add to the emerging literature on empirical asset pricing in the Chinese stock market by building and analyzing a comprehensive set of return prediction factors using various machine learning algorithms. Contrasting previous studies for ...
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DOI: https://doi.org/10.1016/j.jfineco.2021.08.017
Keywan Christian Rasekhschaffe, Robert C. Jones • Financial Analysts Journal
(2019)
Machine learning is an increasingly important and controversial topic in quantitative finance. A lively debate persists as to whether machine learning techniques can be practical investment tools. Although machine learning algorithms can un...
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DOI: https://doi.org/10.1080/0015198x.2019.1596678
Thorsten Wuest, Daniel Weimer, Christopher Irgens, Klaus‐Dieter Thoben • Production & Manufacturing Research
(2016)
The nature of manufacturing systems faces ever more complex, dynamic and at times even chaotic behaviors. In order to being able to satisfy the demand for high-quality products in an efficient manner, it is essential to utilize all means av...
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DOI: https://doi.org/10.1080/21693277.2016.1192517
Flávio Barboza, Herbert Kimura, Edward I. Altman • Expert Systems with Applications
(2017)
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DOI: https://doi.org/10.1016/j.eswa.2017.04.006
Musonera Abdou, Edouard Musabanganji, Herman Musahara • African Journal of Hospitality, Tourism and Leisure
(2022)
The purpose of the current study was to determine factors affecting tourism demand using machine learning techniques. The results of different linear regression and random forest models on both the train and test sets were compared using RM...
DOAJ
Open Access (DOAJ)
DOI: https://doi.org/10.46222/ajhtl.19770720.256
Christian Janiesch, Patrick Zschech, Kai Heinrich • Electronic Markets
(2021)
Abstract Today, intelligent systems that offer artificial intelligence capabilities often rely on machine learning. Machine learning describes the capacity of systems to learn from problem-specific training data to automate the process of a...
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DOI: https://doi.org/10.1007/s12525-021-00475-2
Michael Gofman, Zhao Jin • The Journal of Finance
(2023)
ABSTRACT We document an unprecedented brain drain of Artificial Intelligence (AI) professors from universities from 2004 to 2018. We find that students from the affected universities establish fewer AI startups and raise less funding. The b...
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DOI: https://doi.org/10.1111/jofi.13302
László Kota • Advanced Logistic Systems - Theory and Practice
(2018)
The artificial intelligence undergoes an enormous development since its appearance in the fifties. The computing power has grown exponentially since then, enabling the use of artificial intelligence applications in different areas. Since th...
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DOI: https://doi.org/10.32971/als.2019.004
Cüneyt Dirican • Procedia - Social and Behavioral Sciences
(2015)
In the Industrial Age that humanity has entered long time ago with steam series has caused to primitive mechanization in production. With the development of internet and mobile technologies, electronics, nano technology, advances in medicin...
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DOI: https://doi.org/10.1016/j.sbspro.2015.06.134
John Howard • American Journal of Industrial Medicine
(2019)
Artificial intelligence (AI) is a broad transdisciplinary field with roots in logic, statistics, cognitive psychology, decision theory, neuroscience, linguistics, cybernetics, and computer engineering. The modern field of AI began at a smal...
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DOI: https://doi.org/10.1002/ajim.23037
Luke Tredinnick • Business Information Review
(2017)
2017 promises to be the year that artificial intelligence (AI) moves out of film and fiction and into the workplace. While automation has become commonplace in retail and services, from the ubiquitous uptake of automatic tills to the growin...
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DOI: https://doi.org/10.1177/0266382117692621
Ashwani Kumar Upadhyay, Komal Khandelwal • Strategic HR Review
(2018)
Purpose This paper aims to review the applications of artificial intelligence (AI) in the hiring process and its practical implications. This paper highlights the strategic shift in recruitment industry caused due to the adoption of AI in t...
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DOI: https://doi.org/10.1108/shr-07-2018-0051
Julia Kokina, Thomas H. Davenport • Journal of Emerging Technologies in Accounting
(2017)
ABSTRACT This paper provides an overview of the emergence of artificial intelligence in accounting and auditing. We discuss the current capabilities of cognitive technologies and the implications these technologies will have on human audito...
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DOI: https://doi.org/10.2308/jeta-51730
Felipe A. Csaszar, Tom Steinberger • Academy of Management Annals
(2021)
A rarely acknowledged fact about organization theory (OT) is that many of its ideas stem from the field of artificial intelligence (AI). For example, key OT concepts such as problemistic search, he......
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Open Access
DOI: https://doi.org/10.5465/annals.2020.0192
Krystyna Jarek, Grzegorz Mazurek • Central European Business Review
(2019)
In recent years, artificial intelligence (AI) has become an emerging trend in different fields: science, business, medicine, automotive and education. AI has also reached marketing. The aim of the paper is to research how deeply AI is appli...
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DOI: https://doi.org/10.18267/j.cebr.213
Nitin Rane, Mallikarjuna Paramesha, Saurabh Choudhary, Jayesh Rane • Journal of Applied Artificial Intelligence
(2024)
In an increasingly complex and unpredictable world, resilience-the ability to withstand and recover from adverse conditions is essential across various sectors. This research paper investigates the transformative potential of artificial int...
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DOI: https://doi.org/10.2139/ssrn.4831911
Bo-hu Li, Baocun Hou, Wentao Yu, Xiaobing Lu et al. • Frontiers of Information Technology & Electronic Engineering
(2017)
Based on research into the applications of artificial intelligence (AI) technology in the manufacturing industry in recent years, we analyze the rapid development of core technologies in the new era of ‘Internet plus AI’, which is triggerin...
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Open Access
DOI: https://doi.org/10.1631/fitee.1601885
Ida Merete Enholm, Emmanouil Papagiannidis, Patrick Mikalef, John Krogstie • Information Systems Frontiers
(2021)
Abstract Artificial Intelligence (AI) are a wide-ranging set of technologies that promise several advantages for organizations in terms off added business value. Over the past few years, organizations are increasingly turning to AI in order...
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DOI: https://doi.org/10.1007/s10796-021-10186-w
Yongjun Xu, Xin Liu, Xin Cao, Changping Huang et al. • The Innovation
(2021)
Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer science is broadly affecting many aspects of various fields including science and technology, industry, and even our day-to-day li...
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DOI: https://doi.org/10.1016/j.xinn.2021.100179
PMC: 8633405
Rajendra A. Akerkar • SpringerBriefs in business
(2018)
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DOI: https://doi.org/10.1007/978-3-319-97436-1_1